Sewer sediment deposition prediction using a two-stage machine learning solution

Sewer sediment deposition prediction using a two-stage machine learning solution

Sediment accumulation in the sewer is a source of cascading problems if left unattended and untreated, causing pipe failures, blockages, flooding, or odour problems. Good maintenance scheduling reduces dangerous incidents, but it also has financial and human costs. In this paper, we propose a predic...

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Bibliographic Details
Main Authors: Marc Ribalta Gené, Ramón Béjar, Carles Mateu, Lluís Corominas, Oscar Esbrí, Edgar Rubión
Format: Article
Language:English
Published: IWA Publishing 2024-04-01
Series:Journal of Hydroinformatics
Subjects:
autoencoder
machine learning
neural network
sewer management
sewer sediment deposition
Online Access:http://jhydro.iwaponline.com/content/26/4/727

Internet

http://jhydro.iwaponline.com/content/26/4/727

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